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Relapsed/Refractory International Prognostic Index (R/R-IPI): An international prognostic calculator for relapsed/refractory diffuse large B-cell lymphoma.
Maurer, Matthew J; Jakobsen, Lasse H; Mwangi, Raphael; Schmitz, Norbert; Farooq, Umar; Flowers, Cristopher R; de Nully Brown, Peter; Thompson, Carrie A; Frederiksen, Henrik; Cunningham, David; Jørgensen, Judit; Poeschel, Viola; Nowakowski, Grzegorz; Seymour, John F; Merli, Francesco; Haioun, Corinne; Ghesquieres, Hervé; Ziepert, Marita; Tilly, Hervé; Salles, Gilles; Shi, Qian; El-Galaly, Tarec C; Habermann, Thomas M.
Afiliación
  • Maurer MJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Jakobsen LH; Aalborg University Hospital, Aalborg, Denmark.
  • Mwangi R; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Schmitz N; Department of Medicine A, University Hospital Münster, Münster, Germany.
  • Farooq U; Division of Hematology, Oncology, and Blood & Marrow Transplantation, University of Iowa, Iowa City, Iowa.
  • Flowers CR; Department of Lymphoma/Myeloma, MD Anderson Cancer Center, Houston, Texas.
  • de Nully Brown P; Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Thompson CA; Division of Hematology, Mayo Clinic, Rochester, Minnosata.
  • Frederiksen H; Department of Hematology, Odense University Hospital, Odense, Denmark.
  • Cunningham D; Department of Medicine, Royal Marsden Hospital, Surrey, UK.
  • Jørgensen J; Department of Hematology, Aarhus University Hospital, Aarhus, Denmark.
  • Poeschel V; Saarland University Medical School, Homburg, Germany.
  • Nowakowski G; Division of Hematology, Mayo Clinic, Rochester, Minnosata.
  • Seymour JF; Peter MacCallum Cancer Centre, Melbourne, Australia.
  • Merli F; Hematology Unit, Azienda Unità Sanitaria Locale/IRCCS Reggio Emilia, Reggio Emilia, Italy.
  • Haioun C; Clinical Hematology, Henri Mondor University Hospital, UPEC, Creteil, France.
  • Ghesquieres H; Department of Hematology, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Pierre Benite, France.
  • Ziepert M; Institute for Medical Informatics, Statistics and Epidemiology, University Leipzig, IMISE, Leipzig, Germany.
  • Tilly H; Centre Henri Becquerel, University of Rouen, Rouen, France.
  • Salles G; Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Shi Q; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • El-Galaly TC; Aalborg University Hospital, Aalborg, Denmark.
  • Habermann TM; Division of Hematology, Mayo Clinic, Rochester, Minnosata.
Am J Hematol ; 96(5): 599-605, 2021 05 01.
Article en En | MEDLINE | ID: mdl-33661547
Disease progression after frontline therapy for Diffuse large B-cell lymphoma (DLBCL) is a clinically significant event. Patients who experience early progression or have refractory disease have especially poor outcomes. Simple, clinically applicable prognostic tools are needed for selecting patients for consideration for novel therapies and prognostication in the relapsed/refractory (R/R) setting. Model building was performed in patients from the Surrogate endpoints in aggressive lymphoma (SEAL) consortium with disease progression after frontline immunochemotherapy. The primary endpoint was overall survival (OS) measured from date of progression. Validation was performed in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) and Danish National Lymphoma Register (LYFO) cohorts. Model performance was assessed using time-dependent concordance indices (c-statistic) and calibration with metrics evaluated at 2 years from progression. Note, 1234 of 5112 patients treated with frontline immunochemotherapy in the SEAL consortium developed progressive disease. Time to progression on immunochemotherapy and age at progression were strongly associated with post-progression OS (both p < 0.001). A prognostic model was developed incorporating spline fit for both variables. The model had good concordance in the discovery (0.67) and validation sets (LYFO c = 0.64, MER c = 0.68) with generally good calibration. Time to progression on frontline therapy is strongly associated with post-progression OS in DLBCL. We developed and validated a simple to apply clinical prognostic tool in the R/R setting. The useful prediction of expected outcomes in R/R DLBCL and can inform treatment decisions such as considerations for CAR-T therapy as well as trial designs. The model is available in smartphone-based point of care applications.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Linfoma de Células B Grandes Difuso Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Hematol Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Linfoma de Células B Grandes Difuso Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Hematol Año: 2021 Tipo del documento: Article